人工神经网络具有非线性的自适应信息处理能力,已广泛应用于化工、通信、控制及优化等领域。在简单介绍人工神经网络方法的基础上,重点综述了该方法在陶瓷工业的原料分类、配方优化、缺陷分析、性能预测等方面的应用情况,指出在应用过程中可能存在的问题以及未来的发展趋势。
Artificial Neural Network (ANN) has been widely used in chemical industry, communication, automated control and formulation optimization etc. because of its unique abilities of non-linearly and adaptively processing data. ANN is introduced and its applications in classification, formulation optimization, defect diagnosis and performance prediction in ceramic industry are summarized in this paper. The existing problems are pointed out and the prospect for the future application of ANN is also put forward.